The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-04-29"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3193886 (up from 3116398 yesterday: 2.49 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "227638 (up from 217153 yesterday: 4.83 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.13



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1039909 27327 2.70 60967 2612 4.48 5.86
Spain 236899 4771 2.06 24275 453 1.90 10.25
Italy 203591 2086 1.04 27682 323 1.18 13.60
France 166543 -2510 -1.48 24121 427 1.80 14.48
United Kingdom 166441 4091 2.52 26166 4421 20.33 15.72
Germany 161539 1627 1.02 6467 153 2.42 4.00
Turkey 117589 2936 2.56 3081 89 2.97 2.62
Russia 99399 5841 6.24 972 105 12.11 0.98
Iran 93657 1073 1.16 5957 80 1.36 6.36
China 83944 4 0.00 4637 0 0.00 5.52
Brazil 79685 6450 8.81 5513 430 8.46 6.92
Canada 52865 1715 3.35 3155 172 5.77 5.97
Belgium 47859 525 1.11 7501 170 2.32 15.67
Netherlands 38998 386 1.00 4727 145 3.16 12.12
Peru 33931 2741 8.79 943 89 10.42 2.78
India 33062 1738 5.55 1079 71 7.04 3.26
Switzerland 29407 143 0.49 1716 17 1.00 5.84
Ecuador 24675 417 1.72 883 12 1.38 3.58
Portugal 24505 183 0.75 973 25 2.64 3.97
Saudi Arabia 21402 1325 6.60 157 5 3.29 0.73
Sweden 20302 681 3.47 2462 107 4.54 12.13
Ireland 20253 376 1.89 1190 31 2.67 5.88
Mexico 17799 1047 6.25 1732 163 10.39 9.73
Israel 15834 106 0.67 215 5 2.38 1.36
Singapore 15641 690 4.62 14 0 0.00 0.09
Pakistan 15525 913 6.25 343 31 9.94 2.21
Austria 15402 45 0.29 580 11 1.93 3.77
Chile 14885 520 3.62 216 9 4.35 1.45
Japan 13895 159 1.16 413 19 4.82 2.97
Belarus 13181 973 7.97 84 5 6.33 0.64
Poland 12640 422 3.45 624 28 4.70 4.94
Qatar 12564 643 5.39 10 0 0.00 0.08
Romania 11978 362 3.12 693 30 4.52 5.79
United Arab Emirates 11929 549 4.82 98 9 10.11 0.82
Korea, South 10765 4 0.04 247 1 0.41 2.29
Ukraine 9866 456 4.85 250 11 4.60 2.53
Indonesia 9771 260 2.73 784 11 1.42 8.02
Denmark 9206 157 1.73 443 9 2.07 4.81
Philippines 8212 254 3.19 558 28 5.28 6.79
Norway 7710 50 0.65 207 1 0.49 2.68
Czechia 7579 75 1.00 227 0 0.00 3.00
Bangladesh 7103 641 9.92 163 8 5.16 2.29
Australia 6752 8 0.12 91 2 2.25 1.35
Dominican Republic 6652 236 3.68 293 7 2.45 4.40
Serbia 6630 0 0.00 125 0 0.00 1.89
Panama 6378 357 5.93 178 11 6.59 2.79
Colombia 6207 258 4.34 278 9 3.35 4.48
Malaysia 5945 94 1.61 100 0 0.00 1.68
South Africa 5350 354 7.09 103 10 10.75 1.93
Egypt 5268 226 4.48 380 21 5.85 7.21
Finland 4906 166 3.50 206 7 3.52 4.20
Morocco 4321 69 1.62 168 3 1.82 3.89
Argentina 4285 158 3.83 214 7 3.38 4.99
Algeria 3848 199 5.45 444 7 1.60 11.54
Moldova 3771 133 3.66 111 8 7.77 2.94
Luxembourg 3769 28 0.75 89 0 0.00 2.36
Kuwait 3740 300 8.72 24 1 4.35 0.64
Kazakhstan 3138 111 3.67 25 0 0.00 0.80
Thailand 2947 9 0.31 54 0 0.00 1.83
Bahrain 2921 110 3.91 8 0 0.00 0.27
Hungary 2727 78 2.94 300 9 3.09 11.00
Greece 2576 10 0.39 139 1 0.72 5.40
Oman 2274 143 6.71 10 0 0.00 0.44
Croatia 2062 15 0.73 67 4 6.35 3.25
Iraq 2003 75 3.89 92 2 2.22 4.59
Uzbekistan 2002 63 3.25 9 1 12.50 0.45
Afghanistan 1939 111 6.07 60 2 3.45 3.09
Armenia 1932 65 3.48 30 0 0.00 1.55
Cameroon 1832 127 7.45 61 3 5.17 3.33
Iceland 1797 2 0.11 10 0 0.00 0.56
Azerbaijan 1766 49 2.85 23 1 4.55 1.30
Nigeria 1728 196 12.79 51 7 15.91 2.95
Bosnia and Herzegovina 1677 92 5.80 65 2 3.17 3.88
Ghana 1671 0 0.00 16 0 0.00 0.96
Estonia 1666 6 0.36 50 0 0.00 3.00
New Zealand 1476 2 0.14 19 0 0.00 1.29
Cuba 1467 30 2.09 58 0 0.00 3.95
Bulgaria 1447 48 3.43 64 6 10.34 4.42
North Macedonia 1442 21 1.48 73 2 2.82 5.06
Slovenia 1418 10 0.71 89 3 3.49 6.28
Slovakia 1391 7 0.51 22 2 10.00 1.58
Lithuania 1375 31 2.31 45 1 2.27 3.27
Guinea 1351 111 8.95 7 0 0.00 0.52
Cote d’Ivoire 1238 55 4.65 14 0 0.00 1.13
Bolivia 1110 96 9.47 59 6 11.32 5.32
Djibouti 1077 5 0.47 2 0 0.00 0.19

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 299691 4585 1.55 23477 565 2.47 7.83 15405.46 1206.82 1 in 65
New Jersey 116365 2509 2.20 6771 329 5.11 5.82 13100.94 762.31 1 in 76
Massachusetts 60265 1963 3.37 3405 252 7.99 5.65 8671.84 489.96 1 in 115
Illinois 50358 2256 4.69 2215 90 4.24 4.40 3974.01 174.80 1 in 252
California 48747 2583 5.60 1946 82 4.40 3.99 1233.72 49.25 1 in 811
Pennsylvania 46327 1190 2.64 2373 327 15.98 5.12 3618.73 185.36 1 in 276
Michigan 40399 1137 2.90 3670 102 2.86 9.08 4045.22 367.48 1 in 247
Florida 33193 345 1.05 1218 47 4.01 3.67 1545.46 56.71 1 in 647
Louisiana 27660 374 1.37 1845 44 2.44 6.67 5949.93 396.88 1 in 168
Texas 27257 900 3.41 754 35 4.87 2.77 940.03 26.00 1 in 1064
Connecticut 26767 455 1.73 2169 82 3.93 8.10 7507.67 608.37 1 in 133
Georgia 25775 853 3.42 1101 65 6.27 4.27 2427.61 103.70 1 in 412
Maryland 20849 736 3.66 1078 62 6.10 5.17 3448.58 178.31 1 in 290
Ohio 17303 534 3.18 937 138 17.27 5.42 1480.27 80.16 1 in 676
Indiana 17182 594 3.58 964 63 6.99 5.61 2552.20 143.19 1 in 392
Virginia 14962 623 4.34 522 30 6.10 3.49 1752.91 61.16 1 in 570
Colorado 14758 442 3.09 766 30 4.08 5.19 2562.72 133.02 1 in 390
Washington 14070 228 1.65 801 15 1.91 5.69 1847.70 105.19 1 in 541
Tennessee 10366 314 3.12 195 7 3.72 1.88 1517.01 28.54 1 in 659
North Carolina 10180 425 4.36 382 19 5.23 3.75 970.63 36.42 1 in 1030
Rhode Island 8247 320 4.04 251 12 5.02 3.04 7784.88 236.94 1 in 128
Missouri 7660 210 2.82 338 8 2.42 4.41 1248.08 55.07 1 in 801
Arizona 7209 254 3.65 308 33 12.00 4.27 946.70 40.45 1 in 1056
Alabama 6912 162 2.40 256 14 5.79 3.70 1409.70 52.21 1 in 709
Iowa 6843 467 7.32 148 12 8.82 2.16 2168.89 46.91 1 in 461
Mississippi 6569 227 3.58 250 11 4.60 3.81 2207.21 84.00 1 in 453
Wisconsin 6520 231 3.67 308 8 2.67 4.72 1119.81 52.90 1 in 893
South Carolina 5882 147 2.56 231 39 20.31 3.93 1142.42 44.87 1 in 875
Nevada 4934 113 2.34 230 11 5.02 4.66 1601.87 74.67 1 in 624
Delaware 4655 80 1.75 144 7 5.11 3.09 4780.42 147.88 1 in 209
Minnesota 4644 463 11.07 319 18 5.98 6.87 823.46 56.56 1 in 1214
Kentucky 4537 162 3.70 234 9 4.00 5.16 1015.52 52.38 1 in 985
Utah 4497 152 3.50 45 4 9.76 1.00 1402.70 14.04 1 in 713
District of Columbia 4106 112 2.80 205 15 7.89 4.99 5817.93 290.47 1 in 172
Nebraska 3851 334 9.50 56 0 0.00 1.45 1990.79 28.95 1 in 502
Kansas 3839 187 5.12 134 7 5.51 3.49 1317.74 46.00 1 in 759
Oklahoma 3473 63 1.85 214 7 3.38 6.16 877.69 54.08 1 in 1139
New Mexico 3213 239 8.04 112 7 6.67 3.49 1532.31 53.41 1 in 653
Arkansas 3193 66 2.11 57 0 0.00 1.79 1058.05 18.89 1 in 945
Oregon 2446 61 2.56 101 2 2.02 4.13 579.93 23.95 1 in 1724
South Dakota 2373 60 2.59 13 2 18.18 0.55 2682.39 14.69 1 in 373
New Hampshire 2058 48 2.39 60 0 0.00 2.92 1513.56 44.13 1 in 661
Idaho 1952 0 0.00 60 0 0.00 3.07 1089.25 33.48 1 in 918
Puerto Rico 1433 33 2.36 86 0 0.00 6.00 448.70 26.93 1 in 2229
West Virginia 1110 15 1.37 38 0 0.00 3.42 621.10 21.26 1 in 1610
Maine 1056 16 1.54 52 1 1.96 4.92 785.59 38.68 1 in 1273
North Dakota 1033 42 4.24 19 0 0.00 1.84 1355.53 24.93 1 in 738
Vermont 862 0 0.00 47 0 0.00 5.45 1381.43 75.32 1 in 724
Hawaii 613 4 0.66 16 0 0.00 2.61 432.95 11.30 1 in 2310
Wyoming 545 9 1.68 7 0 0.00 1.28 941.67 12.09 1 in 1062
Montana 451 0 0.00 16 1 6.67 3.55 421.98 14.97 1 in 2370
Alaska 355 4 1.14 9 0 0.00 2.54 485.27 12.30 1 in 2061

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 872481 299691 65397 34.35 21.82 44849.42
New Jersey 241318 116365 NA 48.22 NA 27168.75
Massachusetts 265618 60265 5758 22.69 9.55 38221.15
Illinois 256667 50358 NA 19.62 NA 20254.94
California 603139 48747 NA 8.08 NA 15264.62
Pennsylvania 214883 46327 NA 21.56 NA 16785.13
Michigan 172352 40399 NA 23.44 NA 17257.88
Florida 373488 33193 5624 8.89 16.94 17389.54
Louisiana 156568 27660 NA 17.67 NA 33679.27
Texas 314790 27257 NA 8.66 NA 10856.37
Connecticut 94818 26767 NA 28.23 NA 26594.77
Georgia 143939 25775 5056 17.91 19.62 13556.87
Maryland 110929 20849 4402 18.79 21.11 18348.47
Ohio 128908 17303 3421 13.42 19.77 11028.05
Indiana 91550 17182 NA 18.77 NA 13598.79
Virginia 85940 14962 3608 17.41 24.11 10068.51
Colorado 69449 14758 2610 21.25 17.69 12059.76
Washington 182515 14070 NA 7.71 NA 23968.16
Tennessee 168549 10366 1013 6.15 9.77 24666.28
North Carolina 118440 10180 NA 8.60 NA 11292.82
Rhode Island 60165 8247 750 13.71 9.09 56793.67
Missouri 77159 7660 NA 9.93 NA 12571.88
Arizona 68813 7209 1131 10.48 15.69 9036.63
Alabama 80449 6912 945 8.59 13.67 16407.50
Iowa 41337 6843 NA 16.55 NA 13101.77
Mississippi 66094 6569 1126 9.94 17.14 22207.89
Wisconsin 73150 6520 1489 8.91 22.84 12563.47
South Carolina 54217 5882 1000 10.85 17.00 10530.20
Nevada 41028 4934 NA 12.03 NA 13320.10
Delaware 21538 4655 NA 21.61 NA 22118.30
Minnesota 66744 4644 950 6.96 20.46 11834.81
Kentucky 52411 4537 1331 8.66 29.34 11731.16
Utah 105778 4497 383 4.25 8.52 32994.19
District of Columbia 19229 4106 NA 21.35 NA 27246.23
Nebraska 23631 3851 NA 16.30 NA 12216.14
Kansas 29458 3839 515 13.03 13.41 10111.51
Oklahoma 61267 3473 693 5.67 19.95 15483.31
New Mexico 61745 3213 509 5.20 15.84 29446.85
Arkansas 45449 3193 389 7.03 12.18 15060.18
Oregon 54472 2446 569 4.49 23.26 12914.98
South Dakota 16833 2373 165 14.10 6.95 19027.67
New Hampshire 20746 2058 249 9.92 12.10 15257.65
Idaho 28382 1952 173 6.88 8.86 15837.60
Puerto Rico 10746 1433 NA 13.34 NA 3364.76
West Virginia 43071 1110 NA 2.58 NA 24100.42
Maine 20602 1056 166 5.13 15.72 15326.45
North Dakota 25536 1033 82 4.05 7.94 33509.08
Vermont 15429 862 NA 5.59 NA 24726.40
Hawaii 29618 613 69 2.07 11.26 20918.56
Wyoming 9217 545 56 5.91 10.28 15925.45
Montana 13528 451 61 3.33 13.53 12657.45
Alaska 19119 355 NA 1.86 NA 26135.10

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 9915 597 6.41 1593 16.07 7890 432 32 8.00 4.36
Gujarat 4082 308 8.16 527 12.91 3358 197 16 8.84 4.83
Delhi 3439 125 3.77 1092 31.75 2291 56 2 3.70 1.63
Madhya Pradesh 2560 173 7.25 461 18.01 1969 130 10 8.33 5.08
Rajasthan 2524 141 5.92 827 32.77 1640 57 5 9.62 2.26
Tamil Nadu 2162 104 5.05 1210 55.97 925 27 2 8.00 1.25
Uttar Pradesh 2134 81 3.95 510 23.90 1585 39 5 14.71 1.83
Andhra Pradesh 1332 73 5.80 287 21.55 1014 31 0 0.00 2.33
Telangana 1016 7 0.69 409 40.26 582 25 0 0.00 2.46
West Bengal 758 33 4.55 124 16.36 612 22 0 0.00 2.90
Jammu and Kashmir 581 16 2.83 192 33.05 381 8 0 0.00 1.38
Karnataka 534 11 2.10 216 40.45 297 21 1 5.00 3.93
Kerala 496 10 2.06 369 74.40 123 4 0 0.00 0.81
Bihar 403 37 10.11 64 15.88 337 2 0 0.00 0.50
Punjab 375 33 9.65 101 26.93 255 19 0 0.00 5.07
Haryana 311 3 0.97 225 72.35 83 3 0 0.00 0.96
Odisha 128 9 7.56 39 30.47 88 1 0 0.00 0.78
Jharkhand 107 2 1.90 19 17.76 85 3 0 0.00 2.80
Chandigarh 68 12 21.43 17 25.00 51 0 0 NaN 0.00
Uttarakhand 55 1 1.85 36 65.45 19 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 25 62.50 13 2 0 0.00 5.00
Assam 38 0 0.00 29 76.32 8 1 0 0.00 2.63
Chhattisgarh 38 0 0.00 34 89.47 4 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 15 45.45 18 0 0 NaN 0.00
Ladakh 22 0 0.00 17 77.27 5 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Puducherry 8 0 0.00 5 62.50 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 365895 75134 786 1.06 20.53 7120 634 36122 13679 18.21
Piemonte 151266 25861 411 1.61 17.10 2637 202 15521 3003 11.61
Emilia-Romagna 176865 25177 263 1.06 14.24 2527 226 11862 3512 13.95
Veneto 337656 17825 117 0.66 5.28 1042 114 8369 1437 8.06
Toscana 137482 9292 61 0.66 6.76 576 139 5663 827 8.90
Liguria 47220 7889 117 1.51 16.71 697 70 3576 1152 14.60
Lazio 133503 6545 78 1.21 4.90 1445 130 4535 431 6.59
Marche 55905 6210 35 0.57 11.11 640 52 3347 899 14.48
Campania 73094 4410 30 0.68 6.03 518 31 2782 359 8.14
P.A. Trento 35008 4069 44 1.09 11.62 165 22 1463 416 10.22
Puglia 60334 4029 49 1.23 6.68 449 47 2927 410 10.18
Sicilia 75360 3140 20 0.64 4.17 415 34 2145 232 7.39
Friuli Venezia Giulia 66769 3010 15 0.50 4.51 134 12 1227 285 9.47
Abruzzo 36614 2923 24 0.83 7.98 309 19 1976 315 10.78
P.A. Bolzano 40218 2507 9 0.36 6.23 119 14 845 274 10.93
Umbria 34937 1391 12 0.87 3.98 77 16 261 66 4.74
Sardegna 23299 1290 5 0.39 5.54 87 17 761 116 8.99
Valle d’Aosta 7181 1124 5 0.45 15.65 78 5 135 137 12.19
Calabria 34914 1102 5 0.46 3.16 107 6 753 86 7.80
Basilicata 11331 366 0 0.00 3.23 51 4 194 25 6.83
Molise 5910 297 0 0.00 5.03 17 1 193 21 7.07

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 26610 849 3.30 1762 79 4.69 6.62 3116.77 206.38 1 in 321
Ontario 16978 478 2.90 1153 81 7.56 6.79 1154.04 78.37 1 in 867
Alberta 5165 315 6.49 87 7 8.75 1.68 1170.37 19.71 1 in 854
British Columbia 2087 34 1.66 109 3 2.83 5.22 408.34 21.33 1 in 2449
Nova Scotia 935 20 2.19 28 1 3.70 2.99 956.56 28.65 1 in 1045
Saskatchewan 383 17 4.64 6 1 20.00 1.57 324.12 5.08 1 in 3085
Manitoba 275 2 0.73 6 0 0.00 2.18 199.63 4.36 1 in 5009
Newfoundland and Labrador 258 0 0.00 3 0 0.00 1.16 494.85 5.75 1 in 2021
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1588 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1037 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 939 13 1.38
Jiangxi 937 1 0.11
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 647 7 1.08
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 306 3 0.98
Guangxi 254 2 0.79
Inner Mongolia 200 1 0.50
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 111 1 0.90
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3178.21 186.33 1 in 315
Spain 5077.13 520.25 1 in 197
Italy 3366.25 457.71 1 in 297
France 2486.09 360.07 1 in 402
United Kingdom 2505.13 393.83 1 in 399
Germany 1951.19 78.11 1 in 513
Turkey 1455.13 38.13 1 in 687
Russia 687.88 6.73 1 in 1454
Iran 1153.98 73.40 1 in 867
China 60.57 3.35 1 in 16511
Brazil 380.72 26.34 1 in 2627
Canada 1406.36 83.93 1 in 711
Belgium 4198.16 657.98 1 in 238
Netherlands 2269.97 275.15 1 in 441
Peru 1054.74 29.31 1 in 948
India 24.69 0.81 1 in 40500
Switzerland 3431.39 200.23 1 in 291
Ecuador 1484.66 53.13 1 in 674
Portugal 2381.44 94.56 1 in 420
Saudi Arabia 649.73 4.77 1 in 1539

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 164841 18076 10.97
Nassau New York 35505 1678 4.73
Cook Illinois 34880 1516 4.35
Suffolk New York 33265 1155 3.47
Westchester New York 28626 1006 3.51
Los Angeles California 22485 1056 4.70
Wayne Michigan 16494 1727 10.47
Bergen New Jersey 15446 1057 6.84
Hudson New Jersey 14596 758 5.19
Philadelphia Pennsylvania 13803 541 3.92
Middlesex Massachusetts 13799 802 5.81
Essex New Jersey 13445 1139 8.47
Suffolk Massachusetts 12539 504 4.02
Union New Jersey 12380 653 5.27
Passaic New Jersey 12185 516 4.23
Miami-Dade Florida 11927 338 2.83
Rockland New York 11586 500 4.32
Middlesex New Jersey 11436 531 4.64
Fairfield Connecticut 10985 774 7.05
Orange New York 8488 311 3.66
Essex Massachusetts 8380 425 5.07
New Haven Connecticut 7205 493 6.84
Oakland Michigan 7159 668 9.33
Orleans Louisiana 6420 416 6.48
Ocean New Jersey 6253 367 5.87
Jefferson Louisiana 6173 340 5.51
Harris Texas 6161 109 1.77
King Washington 6103 438 7.18
Providence Rhode Island 5967 0 0.00
Monmouth New Jersey 5907 317 5.37
Prince George’s Maryland 5738 224 3.90
Norfolk Massachusetts 5700 484 8.49
Macomb Michigan 5430 597 10.99
Hartford Connecticut 5388 670 12.44
Worcester Massachusetts 5300 253 4.77
Marion Indiana 5295 305 5.76
Morris New Jersey 5213 387 7.42
Broward Florida 4898 182 3.72
Plymouth Massachusetts 4871 273 5.60
Montgomery Pennsylvania 4177 329 7.88
Montgomery Maryland 4152 242 5.83
District of Columbia District of Columbia 4106 205 4.99
Riverside California 3942 143 3.63
Clark Nevada 3891 196 5.04
Mercer New Jersey 3725 220 5.91
Maricopa Arizona 3723 140 3.76
Hampden Massachusetts 3698 358 9.68
Delaware Pennsylvania 3619 224 6.19
Fairfax Virginia 3448 124 3.60
San Diego California 3432 120 3.50

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc